The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
est_ce(..., type="NP")
, resulting in improved performance.plot_ce(..., density_type="kde edge")
.SuperLearner
package introduced in version 1.2.0.trim
function, which can be used in conjunction with the plot_ce
function to truncate the display of estimate objects produced by est_ce
. Specifically, estimates with X-coordinates that lie outside specified quantiles of the observed distribution of the marker are removed. See package vignette and examples.as_table
function, which formats estimate objects produced using est_ce
as a table.plot_ce
function: added background kernel density plotting, changed default plot styling, fixed a bug that caused CR plots to be displayed instead of CVE plots when plot_ce(..., which="CVE")
was called, and added to the plotting section of the main package vignette.est_ce
, added the option return_p_value
; if set to TRUE
, a P-value will be returned corresponding to the null hypothesis that the CVE curve (or equivalently, the CR curve in the vaccine group) is constant. If type='Cox'
is specified, this will be a Wald-type test using the estimated Cox model parameter vector. If type='NP'
, this will be a nonparametric test assuming monotonicity of the curve.load_data
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.